TeSS (Training eSupport System)

Training materials

Scientific topics: FAIR data

and Competency level: Beginner

and Resource type: lessons

13 materials found

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Training materials, lessons

Dealing with data - 1st year PhD training

• Beginner
Data management FAIR data FAIR Data Data Management Data Life Cycle Open Science
lessons

Data Reuse - Building knowledge from digital data repositories

• Beginner
FAIR data Bioinformatics Biodiversity Data mining FAIR Data Data reuse Online Repository Open Data
lessons

The main concepts - Understanding structure

• Beginner
FAIR data Bioinformatics Biodiversity FAIR Data FAIR Data, Workflows, and Research Taxonomy Scientific publications
lessons

Plazi Goals and Workflow

• Beginner
Biodiversity Bioinformatics FAIR data Plazi Worflow FAIR Data Online Repository
lessons, e-learning

Introduction to Data Management Practices - Data Management Plans

• Beginner
Data management FAIR data Open science Data management CONVERGE Data Stewardship Wizard Data management plan
lessons, e-learning

Introduction to Data Management Practices - Versioning of data and code using Git

• Beginner
Data management FAIR data Software engineering RStudio Data management CONVERGE README
lessons, e-learning

Introduction to Data Management Practices - Introduction to RStudio

• Beginner
Data management FAIR data RStudio Data management CONVERGE README
lessons, e-learning

Introduction to Data Management Practices - Scripted analysis with R

• Beginner
Data management FAIR data Bioinformatics Data visualisation RStudio Data management CONVERGE ggPlot
lessons, e-learning

Introduction to Data Management Practices - Cleaning tabular data with OpenRefine

• Beginner
Data management Open science FAIR data Open science FAIR Data management CONVERGE
lessons, e-learning

Introduction to Data Management Practices - Data publication

• Beginner
Data management Open science FAIR data Open science FAIR Data management CONVERGE

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Training materials

Dealing with data - 1st year PhD training

Data Reuse - Building knowledge from digital data repositories

The main concepts - Understanding structure

Plazi Goals and Workflow

Introduction to Data Management Practices - Data Management Plans

Introduction to Data Management Practices - Versioning of data and code using Git

Introduction to Data Management Practices - Introduction to RStudio

Introduction to Data Management Practices - Scripted analysis with R

Introduction to Data Management Practices - Cleaning tabular data with OpenRefine

Introduction to Data Management Practices - Data publication